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Even more intuitively understandable appears to be a probabilistic statement.
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It's a probabilistic statement, not a scientific one.
As no doubt he will say, it is hard to tell whether a probabilistic statement is "right" if you judge it against a single event.
Nonetheless, a probabilistic statement is in itself less susceptible to interpretational errors or misunderstandings than a qualitative statement that uses - again - words for interpretation that might be ambiguous.
Finally, a probabilistic statement on instance (A-Box) level, which was explicitly stated in the ontology, was entailed.
The performance of entailing a probabilistic statement on concept (T-Box) level that was not explicitly stated in the ontology was derived.
Thus, in order to make a probabilistic statement about the future behaviour of a Markov process, it is no more helpful to know the entire history of the process than it is to know only its current state.
As a convenient shorthand, a probabilistic statement that contains only a variable or set of variables, but no values, will be understood as a universal quantification over all possible values of the variable(s).
We consider a different performance metric, namely a probabilistic statement of the error covariance Pr[Pk≤M]≥1−ϵ, meaning that with high probability the error covariance is bounded above at any instant in time.
Driving, therefore, is a probabilistic game.
"Quality," Simonton writes, is "a probabilistic function of quantity".
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com